$2.13 billion in Solana trades, yet retail interest fails to show up – Why?

ambcryptoPublished on 2026-03-25Last updated on 2026-03-25

Abstract

Solana's derivatives trading volume surged to $2.13 billion in 24 hours, a 7-week high, with over 60% coming from a single institutional venue, GM Trade. This indicates leveraged traders are positioning for near-term volatility. However, retail interest remains weak, with spot market activity and trading frequency staying flat despite SOL's stability around $90-$100. This divergence suggests capital may be shifting into Solana's rapidly expanding RWA ecosystem, where tokenized assets grew 64% to $1.8 billion, and its record $465 million DeFi TVL, rather than retail spot trading.

Solana’s [SOL] trading activity is picking up, but the pace may be entirely from derivatives markets. In the last 24 hours alone, perpetual futures volume went upto $2.13 billion – its highest level in seven weeks!

Notably, GM Trade accounted for $1.31 billion of that total, a notable concentration of activity.

A surge in derivatives activity

The spike in perps volume is essentially a return of leveraged traders positioning around Solana. With over 60% of the total volume coming from a single venue (GM Trade), the move is mostly institutional-scale.

Source: X

Such increases usually indicate expectations of near-term volatility. However, without parallel confirmation from spot markets, such moves often remain tactical. This raises questions about follow-through strength.

Only crickets in the spot markets

Solana’s retail participation indicators have remained largely neutral throughout the past week. There has been little to no meaningful transition into “many retail” or “too many retail” zones.

In fact, trading frequency has stayed flat. Even as price levels stayed near the $90-$100 range.

Source: Cryptoquant

It can be inferred that retail traders are not chasing the move. This is a big change from the usual situation, where a hike in activity accompanies price strength.

AMBCrypto previously reported that this lack of spot momentum may be due to a change in where capital is being released. Solana’s RWA ecosystem has expanded quick, with total tokenized assets rising nearly 64% to over $1.8 billion. This, alongside a record $465 million in active DeFi TVL.

No signs of overheating

Final Summary

  • Solana’s derivatives volume hit a 7-week high, but spot retail demand remains weak.
  • Rising $1.8 billion RWA growth means liquidity might be shifting into DeFi.

Related Questions

QWhat was the total value of Solana perpetual futures volume in the last 24 hours, and why is this significant?

AThe total value was $2.13 billion, which is significant because it marks the highest level of derivatives trading activity for Solana in seven weeks.

QWhich single trading venue was responsible for the majority of this derivatives volume, and what does this concentration suggest?

AGM Trade was responsible for $1.31 billion of the total volume. This high concentration suggests the surge in activity was driven primarily by large, institutional-scale traders rather than a broad retail base.

QAccording to the article, what is the key reason retail interest has failed to show up in the spot markets despite high derivatives activity?

ARetail interest is lacking because capital is likely being diverted into Solana's rapidly expanding Real World Asset (RWA) and DeFi ecosystems, rather than into direct retail spot trading.

QWhat does the 'lack of parallel confirmation from spot markets' indicate about the recent price move?

AIt indicates that the recent price move, driven by derivatives, may be a tactical, short-term play by leveraged traders and lacks the broader, sustained strength that would come with confirmed retail spot market participation.

QWhat two metrics are provided as evidence of capital moving into Solana's RWA and DeFi ecosystems instead of retail trading?

AThe metrics are: 1) Total tokenized assets (RWA) rising nearly 64% to over $1.8 billion, and 2) A record $465 million in active DeFi Total Value Locked (TVL).

Related Reads

Sequoia Dialogue with Jensen Huang: Computing Model Undergoes a 60-Year Transformation; You Won't Be Replaced by AI, But You Will Be Dimensionality-Reduced by 'Those Who Master AI'

NVIDIA founder and CEO Jensen Huang, in a conversation with Sequoia Capital's Konstantine Buhler, argues that we are witnessing the most significant computing shift in 60 years—from retrieval-based to generative computing. Instead of just storing and retrieving data, future systems will generate highly personalized content (text, images, video) on demand, powered by massive "AI factories." Huang envisions a global "intelligence network" that will envelop the planet, following the historical patterns of energy and communication grids. He outlines a five-layer investment framework: 1) Energy, 2) Chips/Computers, 3) Infrastructure (data centers), 4) AI Models, and 5) Applications. He predicts this ecosystem will reach a scale of $20 trillion annually. Crucially, Huang pushes back against fears of AI-driven job loss. He distinguishes between specific "tasks" (e.g., typing, analyzing images) and overall "jobs" (e.g., CEO, radiologist). While AI automates tasks, it increases efficiency and demand for the higher-value problem-solving aspects of professions, thus creating more jobs and "up-leveling" careers. The real risk, he asserts, is not being replaced by AI, but being outperformed by someone who effectively leverages it. He urges everyone to embrace AI as a tool for augmented capability and innovation.

marsbit25m ago

Sequoia Dialogue with Jensen Huang: Computing Model Undergoes a 60-Year Transformation; You Won't Be Replaced by AI, But You Will Be Dimensionality-Reduced by 'Those Who Master AI'

marsbit25m ago

"I Don't Need a Better Model Anymore": A Panorama of AI Users Under a Reddit Hot Post

Titled "I Don't Need a Better Model Anymore": AI User Reactions on Reddit Anthropic recently released Claude Fable 5, its first publicly available 'Mythos'-tier model, achieving 80.3% on the SWE-Bench Pro benchmark and significantly outperforming its predecessor and competitors. However, a viral Reddit post titled "Claude Fable made me realize I don't need better models anymore" highlighted a growing user sentiment of "good enough." Top comments expressed "model fatigue," with users stating that earlier models like Opus 4.5/4.8 already sufficed for their workflows. High cost was a key concern, as Fable 5's API is nearly twice the price of Opus 4.8, with users questioning the return on investment and suggesting the field has hit a plateau. The most frequent complaint targeted Fable 5's stringent safety filters. Designed to intercept high-risk requests (e.g., cybersecurity), the system was perceived as overly conservative. Users reported frequent rejections for routine security-related tasks, leading to automatic fallbacks to the older Opus model. Paying users were particularly frustrated, feeling they paid a premium for a less usable product. Dissenting voices came from users with heavy, complex tasks. For workloads like high-energy physics simulations with thousands of code lines, Fable 5's improved long-context understanding and error detection represented a significant, worthwhile leap—described as moving from a "college player to an NBA starter." The debate underscores a divergence between benchmark performance and practical utility. For most users, current models meet their needs, making further advances relevant only for extreme use-cases. The discussion also raised concerns about a potential "Public AI Freeze," where the most powerful models (like the restricted Mythos 5) remain exclusive to enterprises and governments, while public offerings stagnate. The launch presents two report cards: one of technical excellence and another of user skepticism. Fable 5's ultimate reception may depend on Anthropic's ability to refine its safety filters and justify its cost for specialized, high-demand users.

marsbit33m ago

"I Don't Need a Better Model Anymore": A Panorama of AI Users Under a Reddit Hot Post

marsbit33m ago

When AI Traffic Surpasses Humans, How Do You Prove You're Human?

With AI-generated web traffic surpassing human activity, websites face a crisis as AI agents bypass ads, avoid clicks, and scrape data without generating revenue. This disrupts the ad-based internet economy, diverting traffic and reducing site visits. In response, sites are blocking AI crawlers and deploying traps like Cloudflare's "honeypot" pages. Traditional CAPTCHAs are now ineffective against advanced AI. The focus has shifted to behavioral biometrics—analyzing unique human patterns such as cursor movement, typing rhythm, and keystroke dynamics. Companies like IBM and BioCatch use this data to distinguish humans from bots, even detecting fraud through behavioral inconsistencies. Two competing approaches aim to verify human identity centrally. Sam Altman’s World (formerly Worldcoin) uses iris scanning to create unique credentials, though it faces privacy concerns and regulatory bans. Alternatively, cryptographic zero-knowledge proofs offer anonymous verification without revealing personal data, championed by Vitalik Buterin to avoid centralized surveillance. However, both systems have flaws. Centralized solutions risk biometric data misuse, while decentralized models may be exploited through identity rental markets in economically unequal regions. Despite challenges, the author favors cryptographic methods for preserving privacy over pervasive behavioral monitoring that permanently captures and controls personal biometric data.

marsbit41m ago

When AI Traffic Surpasses Humans, How Do You Prove You're Human?

marsbit41m ago

2026 Landscape of Decentralized AI: Why is Blockchain the Inevitable "Antidote" for AI?

**The 2026 Landscape of Decentralized AI: Why Blockchain is the "Cure" AI Cannot Ignore** Decentralized AI addresses fundamental bottlenecks of centralized AI: scarce and expensive computational resources, excessive control concentration, unverifiable model outputs, and increasing difficulty in acquiring training data due to privacy and regulation. Blockchain offers a path to make intelligence open, verifiable, and economically accessible. The technical stack comprises three layers: 1. **Applications & Services**: The main crypto use cases are "Agentic Finance" (converting natural language into on-chain actions) and "Agentic Payments" for machine-to-machine commerce. Projects like Giza, Infinity Labs, Coinvest AI, and x402 (handling 173M+ transactions) are key players. 2. **Middleware**: This coordination layer enables agents to discover, identify, and transact. Notable projects include Gokite AI (specialized L1), Virtuals (an OS for the agent economy), and especially Bittensor—a network of specialized subnets forming competitive AI micro-economies. 3. **Infrastructure**: The capital-intensive layer providing raw resources. It includes decentralized compute (Akash, Render, Aethir), verifiable inference (Venice AI, OpenGradient), distributed training (Prime Intellect, Templar AI), decentralized storage (Filecoin, Walrus), and privacy/verification layers (Nillion, Arcium, Phala Network) using technologies like ZKPs, MPC, and TEEs. The outlook for 2026-2027 indicates AI demand outpacing infrastructure, with AI agents as a primary growth engine. Computation is becoming an asset class, with on-chain markets as its financial layer. Tokenomics is emerging as a structural advantage for coordinating capital, compute, and data in decentralized AI networks. While still early—with adoption uneven and revenue often trailing token incentives—projects like Bittensor, NEAR, and Virtuals demonstrate a shift from speculative narrative to a new model for coordinating intelligence.

marsbit44m ago

2026 Landscape of Decentralized AI: Why is Blockchain the Inevitable "Antidote" for AI?

marsbit44m ago

a16z Crypto Partner: Cash Flow is the Moat

Cash Flow as the Moat: A Playbook for Crypto Founders Historically, the most enduring businesses have been built by positioning themselves within the "flow of funds"—facilitating the creation and transfer of value in a network and extracting a portion of it. Cryptocurrency is the first modern technology natively built for this purpose. For startups, failing to architect products and businesses to leverage these principles means missing a major opportunity. Blockchains are inherently network businesses. Each transaction settles on a shared ledger, and every new participant strengthens the underlying network for all. Well-designed network tokens amplify this by aligning users, developers, and validators around growing the network, with value flowing back to contributors in a transparent feedback loop. This model is not new; companies from railroads and Standard Oil to Google, Meta, and AWS have thrived by inserting themselves into critical flows of value (goods, attention, compute). Financial markets make it even clearer: firms like Visa and major market makers generate immense revenue not by predicting markets but by being in the path of transactions. The combination of fund flow and network effects creates one of the most durable business structures. The high margins in traditional finance (payments, custody, lending, FX) represent prime targets. Crypto founders have the opportunity to build the next version—programmable, instant, global, and natively in the flow of funds. The frontier extends beyond finance to areas like computing/GPUs, AI training data, energy, robotics, and space—markets without entrenched intermediaries, ripe for building new, efficient value rails on programmable infrastructure. Founders should ask: Are you in the flow of funds today? Does your revenue scale 10x with the value of activity on your platform? Where in your target market are profit margins highest relative to value created? The opportunity is clear: embed your startup into the new flows of value and let the network effects accumulate.

marsbit46m ago

a16z Crypto Partner: Cash Flow is the Moat

marsbit46m ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of SOL (SOL) are presented below.

活动图片